Artificial intelligence reshaping the paradigm of hematologic malignancy diagnosis and treatment: From static assessment to dynamic precision management.
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| Title: | Artificial intelligence reshaping the paradigm of hematologic malignancy diagnosis and treatment: From static assessment to dynamic precision management. |
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| Authors: | Li Z; Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, 030032, China., Zhao J; Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, 030032, China., Huang L; Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, 030032, China.; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China., Chen X; The Key Laboratory of Molecular Diagnosis and Treatment of Hematological Diseases of Shanxi Province, 382 Wuyi Road, Taiyuan, Shanxi Province, China.; The Second Hospital of Shanxi Medical University, Taiyuan, China., Wei J; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China., Tian W; Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, 030032, China. tianweiwei@sxbqeh.com.cn.; The Key Laboratory of Molecular Diagnosis and Treatment of Hematological Diseases of Shanxi Province, 382 Wuyi Road, Taiyuan, Shanxi Province, China. tianweiwei@sxbqeh.com.cn. |
| Source: | Annals of hematology [Ann Hematol] 2026 Apr 14; Vol. 105 (5). Date of Electronic Publication: 2026 Apr 14. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Springer Verlag Country of Publication: Germany NLM ID: 9107334 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-0584 (Electronic) Linking ISSN: 09395555 NLM ISO Abbreviation: Ann Hematol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1432-0584 |
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| DOI: | 10.1007/s00277-026-06996-0 |
